Spatial Ecology and Environmental Data Sciences (SEEDS Lab)
Tong Qiu, Duke University
We are ecologists at the Nicholas School of the Environment. We use data-model synthesis approaches that integrate satellite and airborne remote sensing with ecological big data and earth system models to understand how terrestrial ecosystems are functioning under global change
Forest ecosystems rely on the fecundity of their trees to regenerate after dieback and disturbance. We are interested in quantifying fecundity variations at species, landscape, and global scales.
Phenology is the intra-annual rhythm of vegetation growth and a footprint of global change. We study phenology by integrating satellite remote sensing with computational models.
Biodiversity supports human well-being with food, energy, and materials. Synthesis of remote sensing and ecological data within Bayesian framework can advance the understanding of biodiversity change.